GPU Modeling Engineer

Position Summary

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!

Role and Responsibilities

As a GPU Modeling Engineer you will work as part of the GPU Hardware Modeling team. This is an individual contributor role where you will be responsible for performance and functional modeling of various blocks of the GPU pipeline. The successful candidate will have a strong background using C++ to create architectural models of GPU designs.

• You interface with architects, RTL designers, verification engineers and software engineers to understand the GPU pipeline
• You develop and maintain architectural models of GPU designs using modeling languages such as C++, or Python, to include implementation and testing.
• You run simulations to evaluate the performance of GPU architectures under various workloads, including graphics, compute, and machine learning applications.
• You conduct performance analysis on simulation results to identify trends and bottlenecks, optimize performance, and provide recommendations for design improvements.
• You work closely with GPU design teams to ensure that models are accurate and relevant to the design process.
• You identify architecture, micro-architecture, and implementation optimizations to improve the functionality and performance of the GPU and its units
• You develop new modeling techniques and methodologies to improve the accuracy and efficiency of GPU modeling and simulation.

Skills and Qualifications

• 10+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 8+ years of experience with a Master’s Degree, or 6+ years of experience with a PhD
• 10+ years of experience in software design and architecture modeling
• Expertise in C++ programming, including STL, in a Linux environment
• Deep understanding of GPU/CPU or computer architecture and micro-architecture concepts
• Experience using development tools such as revision control systems, debuggers, and make/cmake
• Hardware modeling experience, especially the Sparta Modeling Framework
• Experience with performance profiling and analysis
• Some familiarity with SystemVerilog is preferred
• RTL verification experience is a plus

Our Team

We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market-leading GPU product. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphic for Samsung Galaxy smartphones.

Being part of a unique growing team at a well-established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole system architecture-level design for Samsung’s current and next-generation mobile GPU. Depending on the functional discipline, they’re responsible for anywhere from early-stage architectural exploration, research work focusing on graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.

Total Rewards

At Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,024 and $257,336. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off,